Deep Reinforcement Learnig (8 hours)
Teacher: Niccolò Valigi (AI Academy)
Deep Learning powered many of the recent advancements in image classification, natural language understanding,
and reinforcement learning. This course will start with the building blocks of Deep Learning: the perceptron model,
neural network architectures, activation functions, and state-of-the-art training techniques. We will then progress to
more specialized topics, including Convolutional Neural Networks and Recurrent Neural Networks. Alongside the
theoretical foundations, we will be presenting implementations based on the TensorFlow library. The course will also
discuss specific applications in the field of computer vision and natural language understanding.